Fig. 3: Evaluation of segmentation accuracy using the Cellpose Cyto dataset.
From: CelloType: a unified model for segmentation and classification of tissue images
a, A line plot showing AP across IoU thresholds for cell segmentation for Cellpose2, CelloType and CelloType_C (CelloType with confidence score). Each data point represents the average AP from a 10-fold cross-validation experiment. The band width around each line represents the standard deviation. The mean and standard deviation of average AP values across IoU thresholds are shown in the parentheses. b, The performance of methods stratified by image type. The mean AP values of Cellpose2, CelloType and CelloType_C are stratified by imaging modality and cell type. Each grouped barplot is overlaid with ten data points, representing the results of a 10-fold cross-validation. The error bar represents the standard deviation. The test dataset comprises microscopy and nonmicroscopy images from the Cellpose Cyto dataset that comprises six subsets, including cells (Cell Image Library), cells (fluorescence), cells (nonfluorescence), cells (membrane), other microscopy and nonmicroscopy. Statistical significance is indicated as follows: ****P < 1 × 10−4, ***P < 1 × 10−3, **P < 1 × 10−2, *P < 0.05. P values were computed using one-sided Student’s t-test (Supplementary Table 10). c, Representative examples of cell segmentation of a microscopy image by the compared methods. The red boxes highlight a representative region that the methods perform differently. A zoomed-in view of the highlighted image area is shown to the right of the full image. Image-level AP scores are shown on the images. d, Representative examples of cell segmentation of a nonfluorescence image by the compared methods.
